Triple
T10636880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torres Maldonado Apartment |
E250604
|
entity |
| Predicate | hasInteriorType |
P94573
|
FINISHED |
| Object | domestic interior |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: domestic interior | Statement: [Torres Maldonado Apartment, hasInteriorType, domestic interior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInteriorType Context triple: [Torres Maldonado Apartment, hasInteriorType, domestic interior]
-
A.
hasInteriorFeature
Indicates that an entity contains or includes a specific feature within its interior space.
-
B.
hasInteriorColor
Indicates that an entity possesses a specific color used on its interior surfaces or internal parts.
-
C.
hasInteriorBehavior
Indicates that an entity exhibits a particular behavior or set of behaviors within its internal or enclosed space.
-
D.
hasExteriorType
Indicates that an entity possesses a specific kind or style of exterior.
-
E.
hasIndoorType
chosen
Indicates that an entity is associated with a specific type or category of indoor environment or indoor feature.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfad9dbc81909a4f78d93ecfaa20 |
completed | April 8, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:04 p.m.